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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Proceedings of the ICNC-FSKD 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ning Xiong

    1. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Sweden

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  2. Maozhen Li

    1. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, UK

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  3. Kenli Li

    1. School of Information Science and Technology, Hunan University, Changsha, China

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  4. Zheng Xiao

    1. School of Information Science and Technology, Hunan University, Changsha, China

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  5. Longlong Liao

    1. College of Computer and Data Science, Fuzhou University, Fuzhou, China

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  6. Lipo Wang

    1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

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  • Discusses recent advances in natural computation, fuzzy systems, and knowledge discovery
  • Covers proceedings of the 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery
  • Written by experts in the field

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 153)

Included in the following conference series:

Conference proceedings info: ICNC-FSKD 2022.

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Table of contents (162 papers)

  1. Front Matter

    Pages i-xxviii
    Download chapter PDF

  2. Deep Learning (34)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Multiple Layers Global Average Pooling Fusion

      • Silei Cao, Shun Long, Weiheng Zhu, Fangting Liao, Zeduo Yuan, Xinyi Guan
      Pages 3-10

    3. Han Dynasty Clothing Image Classification Model Based on KNN-Attention and CNN

      • Guan Ziwei, Lv Zhao, Teng Jinbao
      Pages 11-17

    4. Self-Attention SSD Network Detection Method of X-ray Security Images

      • Hong Zhang, Baoyang Liu, Yue Gao
      Pages 18-26

    5. Cross Architecture Function Similarity Detection with Binary Lifting and Neural Metric Learning

      • Zhenzhou Tian, Chen Li, Sihao Qiu
      Pages 27-34

    6. Pain Expression Recognition Based on Dual-Channel Convolutional Neural Network

      • Xuebin Xu, Meng Lei, Dehua Liu, Muyu Wang
      Pages 35-42

    7. A Noval Air Quality Index Prediction Scheme Based on Long Short-Term Memory Technology

      • Lijiao Ding, Jinze Sun, Tingda Shen, Changqiang Jing
      Pages 43-52

    8. Code Summarization Through Learning Linearized AST Paths with Transformer

      • Zhenzhou Tian, Cuiping Zhang, Binhui Tian
      Pages 53-60

    9. Function Level Cross-Modal Code Similarity Detection with Jointly Trained Deep Encoders

      • Zhenzhou Tian, Lumeng Wang
      Pages 61-68

    10. Ease Solidity Smart Contract Compilation through Version Pragma Identification

      • Zhenzhou Tian, Ruikang He
      Pages 69-75

    11. Towards Robust Similarity Detection of Smart Contracts with Masked Language Modelling

      • Zhenzhou Tian, Xianqun Ke
      Pages 76-84

    12. DeSG: Towards Generating Valid Solidity Smart Contracts with Deep Learning

      • Zhenzhou Tian, Fanfan Wang
      Pages 85-92

    13. Combining AST Segmentation and Deep Semantic Extraction for Function Level Vulnerability Detection

      • Zhenzhou Tian, Binhui Tian, Jiajun Lv
      Pages 93-100

    14. A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction

      • Shyer Bin Tan, Lipo Wang
      Pages 101-108

    15. Multi-modal Scene Recognition Based on Global Self-attention Mechanism

      • Xiang Li, Ning Sun, Jixin Liu, Lei Chai, Haian Sun
      Pages 109-121

    16. Sheep Herd Recognition and Classification Based on Deep Learning

      • Yeerjiang Halimu, Zhou Chao, Jun Sun, Xiubin Zhang
      Pages 122-129

    17. A Deep Learning-Based Innovative Points Extraction Method

      • Tao Yu, Rui Wang, Hongfei Zhan, Yingjun Lin, Junhe Yu
      Pages 130-138

    18. Deep Embedded Clustering with Random Projection Penalty

      • Kang Song, Wei Han, Chamara Kasun Liyanaarachchi Lekamalage, Lihui Chen
      Pages 139-146

    19. Multi-title Attention Mechanism to Generate High-Quality Images on AttnGAN

      • Pingan Qiao, Xiwang Gao
      Pages 147-156
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  1. Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

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About this book

This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems, and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems, and knowledge discovery. The work printed in this book was presented at the 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), held from 30 July to 1 August 2022, in Fuzhou, China. All papers were rigorously peer-reviewed by experts in the areas.

Editors and Affiliations

  • Division of Intelligent Future Technologies, Mälardalen University, Västerås, Sweden

    Ning Xiong

  • Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, UK

    Maozhen Li

  • School of Information Science and Technology, Hunan University, Changsha, China

    Kenli Li, Zheng Xiao

  • College of Computer and Data Science, Fuzhou University, Fuzhou, China

    Longlong Liao

  • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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